Recombinant Bartonella quintana probable transaldolase (Tal) refers to a transaldolase enzyme of Bartonella quintana produced through recombinant DNA technology . Transaldolases are enzymes involved in the pentose phosphate pathway, a metabolic pathway that provides precursors for nucleotide and amino acid synthesis .
Bartonella quintana is a Gram-negative bacterium that can cause diseases in humans . It was initially identified as the cause of trench fever during World War I . The bacterium is transmitted by vectors, specifically the human body louse, and transitions between the hemin-restricted environment of the human bloodstream and the hemin-rich environment of the body louse . B. quintana has a remarkable ability to adapt to different hosts, which is thought to be driven by horizontal gene transfer (HGT) and recombination .
Transaldolase is an essential enzyme in the pentose phosphate pathway, which plays a crucial role in:
Metabolism The pentose phosphate pathway provides essential precursors for synthesizing nucleotides and amino acids .
Stress Response B. quintana utilizes an extracytoplasmic function (ECF) sigma factor, RpoE, to respond to stressors encountered in the body louse vector environment, such as changes in temperature and hemin concentration . The expression of rpoE is significantly upregulated at the body louse temperature (28°C) compared to the human host temperature (37°C) .
Recombinant B. quintana probable transaldolase (Tal) is produced using recombinant DNA technology, where the gene encoding the transaldolase enzyme is cloned and expressed in a host organism . The recombinant protein can be used for various applications, including:
Biochemical Studies Recombinant Tal can be used to study the enzyme's structure, function, and catalytic mechanisms .
Drug Discovery Tal can be a potential target for developing new antibacterial drugs against B. quintana .
Diagnostics Recombinant Tal can be used to develop diagnostic assays for detecting B. quintana infections .
Bartonella species utilize a gene transfer agent (BaGTA) to mediate horizontal gene transfer (HGT), which contributes to their host adaptability and evolution . BaGTA-mediated transfer is restricted to the ROR replicon and involves specific genes that, when disrupted, can abrogate BaGTA-mediated DNA transfer .
B. quintana lipopolysaccharide (LPS) is a natural antagonist of Toll-like receptor 4 (TLR4) . Unlike LPS from other bacteria, B. quintana LPS does not induce the production of pro-inflammatory cytokines in human monocytes . Instead, it inhibits the effects of E. coli LPS by blocking its interaction with TLR4 .
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Transaldolase plays a crucial role in maintaining metabolic balance within the pentose phosphate pathway.
KEGG: bqu:BQ12290
STRING: 283165.BQ12290
The probable transaldolase gene is located within the compact 1,581,384 bp genome of B. quintana, which is notably smaller than the related B. henselae genome (1,931,047 bp) . This reduced genome size is characteristic of B. quintana's evolutionary trajectory, marked by significant genome reduction similar to that observed in Rickettsia prowazekii . The tal gene exists within a genomic architecture that reflects B. quintana's highly specialized niche as a human-restricted pathogen transmitted by the human body louse (Pediculus humanus) . Understanding this genomic context is essential for experimental design, as the organism's genome reduction may affect metabolic pathway completeness and enzyme function.
While the search results don't provide specific sequence comparisons between B. quintana and B. henselae transaldolases, we can infer potential differences based on the evolutionary relationship between these organisms. B. quintana shows evidence of extensive genome reduction compared to B. henselae , which may extend to metabolic genes including transaldolase.
For recombinant expression of B. quintana transaldolase, E. coli-based systems remain the most practical first choice due to:
Ease of genetic manipulation and high yield
Well-established protocols for heterologous protein expression
Compatibility with B. quintana's genomic characteristics (72.7% coding fraction with G+C bias on leading strands)
Consider these methodological approaches:
Use codon-optimized synthetic genes to overcome potential codon usage differences
Test multiple fusion tags (His, GST, MBP) as B. quintana proteins may have unpredictable folding properties in E. coli
Evaluate both cytoplasmic and periplasmic expression strategies
Experiment with low-temperature induction (16-20°C) to enhance proper folding
For projects requiring native post-translational modifications, consider alpha-proteobacterial expression hosts more closely related to Bartonella, though these will require more complex optimization.
Optimal purification of recombinant B. quintana transaldolase requires a multi-step approach:
Initial capture using affinity chromatography (typically IMAC for His-tagged constructs)
Intermediate purification via ion-exchange chromatography
Polishing step using size-exclusion chromatography to ensure homogeneity
Critical buffer considerations include:
Maintaining pH between 7.0-8.0 (optimal for most transaldolases)
Including reducing agents (1-5 mM DTT or β-mercaptoethanol) to protect catalytic cysteine residues
Testing stability with various additives (glycerol 10-20%, low concentrations of salt)
Evaluating enzyme activity at each purification step
Remember that B. quintana has evolved in a restricted host environment, which may affect protein stability outside its native context. Therefore, systematic buffer optimization is essential for maintaining enzymatic activity.
Several complementary assays can effectively characterize B. quintana transaldolase activity:
Spectrophotometric coupled assays: Monitor NADH oxidation at 340 nm when the transaldolase reaction is coupled with glyceraldehyde-3-phosphate dehydrogenase. This approach offers real-time kinetic data but requires careful control reactions.
Direct product quantification: Use HPLC or LC-MS to directly measure the formation of erythrose-4-phosphate and fructose-6-phosphate. This method is more definitive but lower throughput.
Isothermal titration calorimetry (ITC): Provides thermodynamic binding parameters for substrate interactions, especially valuable when comparing wild-type and mutant enzymes.
For all assays, it's critical to account for B. quintana's adaptation to human host environments. The optimal temperature range for assays should be 35-37°C to reflect human body temperature, and reaction conditions should consider the intracellular environment of erythrocytes and endothelial cells that B. quintana typically infects .
Given B. quintana's genome reduction compared to B. henselae and other related bacteria , transaldolase function should be analyzed within this evolutionary context:
Comparative pathway analysis: Map the complete pentose phosphate pathway in B. quintana and identify any missing components. The presence of a functional transaldolase despite genome reduction suggests selective pressure to maintain this enzyme.
Metabolic flux analysis: Use 13C-labeled glucose to trace carbon flow through the pentose phosphate pathway in B. quintana versus related bacteria with larger genomes.
Growth complementation studies: Evaluate whether B. quintana transaldolase can complement E. coli or yeast transaldolase mutants under various nutrient conditions.
In silico modeling: Create a constraint-based metabolic model of B. quintana that incorporates genome reduction to predict the metabolic significance of transaldolase.
This approach acknowledges that B. quintana's specialized human-restricted lifestyle may have led to unique metabolic adaptations that affect transaldolase function.
B. quintana's status as a specialist human pathogen suggests its transaldolase may have specific adaptations relevant to pathogenesis:
Nutrient acquisition: The enzyme may be optimized for the specific nutrient environment of human erythrocytes and endothelial cells, the primary infection sites for Bartonella .
Oxidative stress response: The pentose phosphate pathway generates NADPH, critical for managing oxidative stress during infection. Transaldolase might be particularly important given B. quintana's reduced genome , which may limit redundant antioxidant mechanisms.
Cell invasion dynamics: Transaldolase activity could influence the energy state and reducing power available during the critical phases of cell invasion.
Biofilm formation: Altered pentose phosphate pathway flux might affect exopolysaccharide production for potential biofilm formation during chronic infection.
Research approaches should include:
Comparison of enzyme kinetics between B. quintana and B. henselae transaldolases
Creation of conditional mutants to evaluate the importance of transaldolase during different infection stages
Transcriptomic analysis to determine if transaldolase expression changes during host cell interaction
Recent studies have revealed significant differences in tRNA modification patterns between B. quintana and B. henselae . These differences may have important implications for recombinant expression:
Codon optimization strategy: B. quintana has lost several tRNA modification enzymes, including tgt, ttcA, trmFO, and trmL , which may affect codon usage preferences. Specifically:
Translation efficiency concerns: The decay of tRNA modification enzymes in B. quintana likely reduces translation accuracy , which should inform codon optimization strategies for heterologous expression.
Expression host selection: Consider using expression hosts with tRNA modification patterns more similar to B. quintana, or supplement expression systems with rare tRNAs that match B. quintana's usage patterns.
The table below summarizes key tRNA modifications affected in B. quintana compared to B. henselae:
Insolubility is a common challenge when expressing recombinant proteins from organisms with specialized lifestyles like B. quintana. Consider these approaches:
Fusion partners: Test solubility-enhancing fusion partners including:
MBP (maltose-binding protein)
SUMO (small ubiquitin-like modifier)
TrxA (thioredoxin)
Expression conditions optimization:
Reduce induction temperature to 16-20°C
Lower inducer concentration
Use specialty E. coli strains with enhanced folding machinery (Rosetta-gami, Arctic Express)
Buffer optimization during lysis and purification:
Test additives that mimic the intracellular environment of B. quintana's host cells
Include osmolytes like trehalose or glycine betaine
Add non-ionic detergents at low concentrations
Structural biology approaches:
Identify and remove or mutate hydrophobic patches that might contribute to aggregation
Design constructs based on predicted domain boundaries
When encountering persistent insolubility, consider whether B. quintana transaldolase might require specific chaperones or binding partners absent in heterologous systems.
Comprehensive validation requires multiple complementary approaches:
Structural assessment:
Circular dichroism (CD) spectroscopy to evaluate secondary structure content
Thermal shift assays to assess protein stability
Limited proteolysis to probe structural integrity
Size-exclusion chromatography with multi-angle light scattering (SEC-MALS) to determine oligomeric state
Functional validation:
Enzyme kinetics comparison with other bacterial transaldolases
Substrate specificity profiles
Temperature and pH activity profiles consistent with B. quintana's lifestyle
Biophysical characterization:
Differential scanning calorimetry to measure thermodynamic stability
Surface plasmon resonance for substrate binding kinetics
Hydrogen-deuterium exchange mass spectrometry to probe structural dynamics
In silico validation:
Homology modeling based on crystal structures of related bacterial transaldolases
Molecular dynamics simulations to assess stability of the modeled structure
The gold standard would be complementation studies in a transaldolase-deficient bacterial strain, demonstrating that B. quintana transaldolase can functionally replace the native enzyme.
B. quintana's lifestyle as an intracellular pathogen that infects erythrocytes and endothelial cells suggests its transaldolase may participate in host-pathogen metabolic cross-talk:
Metabolic adaptation: B. quintana's reduced genome (1,581,384 bp) likely necessitates metabolic dependency on host resources. Transaldolase might be optimized for utilizing host-derived metabolites rather than those synthesized de novo.
Niche-specific function: Given B. quintana's specialization to the human host , its transaldolase may have adapted to the unique metabolic environment of human blood cells and vascular tissue.
Nutritional immunity bypass: Transaldolase activity might help circumvent host nutritional immunity mechanisms by enabling alternative carbon flux pathways.
Research approaches could include:
Metabolomic comparison of infected versus uninfected host cells
Isotope labeling studies to track carbon flow between host and pathogen
Analysis of transaldolase expression during different infection phases
The unique genomic features of B. quintana, including its reduced size compared to B. henselae , suggest careful investigation of potential metabolic integration with host systems is warranted.
The distinct ecological niches of B. quintana (human-specific) and B. henselae (infects both cats and humans) provide an excellent model for studying enzyme evolution during host restriction:
Selective pressure analysis: Compare the ratio of synonymous to non-synonymous mutations in transaldolase genes between these species to identify signatures of positive or purifying selection.
Structural adaptation assessment: Map sequence differences onto structural models to determine if changes occur preferentially in catalytic regions, substrate binding sites, or protein-protein interaction interfaces.
Kinetic parameter evolution: Compare enzyme efficiency metrics (kcat/Km) between the transaldolases to determine if B. quintana's enzyme shows specialization for human host environments.
Promiscuity profile changes: Test whether B. quintana's transaldolase has narrowed or altered its substrate profile compared to B. henselae's enzyme, which might reflect adaptation to its more restricted niche.
This comparative approach can leverage the documented genomic differences between these species to understand broader principles of enzyme evolution during host specialization.